A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution.The development teams have the following requirements:-Teams must develop and update the same features independently.-Updates must not overwrite changes made by other teams.-Production deployments must remain controlled and predictable.You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.What should you recommend?
Answer(s): C
Isolation prevents overwrites: Giving each team a separate development environment ensures they can build, edit, and test their features independently. It completely eliminates the risk of one team accidentally overwriting or breaking another team's components (like shared Cloud Flows or Dataverse tables) during active development.Controlled production deployment: Deploying components as managed solutions into the production environment is a strict Microsoft ALM best practice. Managed solutions protect the target environment from unauthorized direct edits and allow for clean, predictable updates and rollbacks.True parallel development: Segmenting features into individual solutions across isolated environments enables distinct release cadences for each development team.References: https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
References: https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.The company is evaluating which solution component to include in the app. The solution must meet the following requirements:-Users must interact with system-generated responses while working within forms and views.-Responses must reflect the current data and context in the app.-Users must remain within the app while interacting with the solution.You need to recommend solution components for the app.Which two components should you recommend? Each correct answer presents a complete solution.Note: Each correct selection is worth one point.
Answer(s): B,D
[B] A Microsoft Copilot Studio agent fulfills these specific requirements by providing embedded, context-aware AI directly inside the user's workflow without disrupting their activities.In-Form Interactions: Using the Agent response component, agents can be embedded directly into the layout of a model-driven form. This prevents context switching, allowing users to interact with responses alongside their primary workspace.Real-Time Context: By leveraging Agent APIs, the agent is automatically passed dynamic app data—such as case details, customer information, and recent interactions—triggering specific topics that tailor responses to the exact current record.Rich Native Formatting: The solution accommodates Markdown text, images, videos, and Adaptive Cards directly in forms. Customer service representatives can therefore review procedures and examine troubleshooting information without ever leaving the app.[D] You should include an App assistant agent (also known as a Copilot sidecar or embedded Copilot agent) in your Power Platform solution.In-App Interaction: An embedded Copilot Studio agent integrates directly into the model-driven app as a sidepane sidecar or page component. This satisfies the requirement that users must remain within the app.Context-Aware Responses: Modern app assistant agents inherently access the active form context, row data, and selected view items. This fulfills the requirement that responses must reflect current data and context.Direct Interaction: Representatives can chat with, trigger, and review system-generated outputs directly beside their active workspace, allowing seamless interaction within forms and views.
https://learn.microsoft.com/en-us/power-platform/architecture/reference-architectures/contextual-ai-model-driven-app
HOTSPOT (Drag and Drop is not supported)A company plans to use Microsoft Dataverse to manage sales opportunities. Records will contain confidential financial data that should only be accessible to specific groups of employees.You have the following requirements:-Sales representatives must only view and update records they create.-Sales managers must have visibility into all opportunities within their organization.You need to configure security.Which configuration should you use? To answer, select the appropriate options in the answer area.Note: Each correct selection is worth one point.Hot Area:
Answer(s): A
Box 1: User-level access To meet the requirement where sales representatives can only view and update records they create, you must grant User-level (Basic) write and read access via Microsoft Dataverse security roles.Box 2: Organization-level access To meet your requirement, sales managers must be granted Organization-level Read access (also known as Global access) through their security role for the Opportunity table in Microsoft Dataverse.
https://learn.microsoft.com/en-us/power-platform/admin/wp-security-cds
A company uses Power Apps.Users must be able to view only the address1 columns in the Account table.You need to ensure other address columns are not visible to users when creating views and filters.What should you do?
Using column-level security to remove read access is the correct and most appropriate approach.In Microsoft Dataverse, column-level security (CLS) applies a restrictive model organization-wide. Once you enable column security on a column, all users automatically lose read, create, and write access to that column by default. Because the underlying data engine strictly blocks unauthorized access, these columns are automatically hidden from forms, system views, personal views, and filter dropdowns. This safely prevents users from adding restricted columns when they try to build their own custom views or query filters.
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-field-solution-explorer
DRAG DROP (Drag and Drop is not supported)An insurance company is implementing a customer service solution in Microsoft Dataverse to track interactions and manage issue resolution. The data model includes tables for customer information, support cases, and agents.The data model includes the following requirements:-Link each support case to a customer.-Provide information on the children of customers.-Record history of agents assigned to customers.You need to configure table relationships.Which relationships should you use? To answer, move the appropriate relationship to the correct requirement. You may use each relationship once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.Note: Each correct selection is worth one point.Select and Place:
Box 1: One-to-many To link each support case to a specific customer in Microsoft Dataverse, you should use a One-to-many (1:N) relationship. This allows one customer (Account or Contact) to be associated with multiple support cases over time, while each individual case is linked to exactly one customer.Box 2: One-to-many You should use a One-to-many relationship.Parent to Children: One customer (parent) can have multiple children.Child to Parent: Each child belongs to only one customer (parent) in this specific structural context.Note: Both the children parents could be customers, in which case a many-to-many relation could be considered.Box 3: Connections To record a history of multiple agents assigned to multiple customers over time, you should use Connections.Tracks Historical Data: Standard Dataverse relationships (like One-to-Many) only show the current assignment. Connections let you keep a running log of past and present relationships.Many-to-Many Behavior: An agent can be linked to many customers, and a customer can have many agents over time.Adds Context: Connections allow you to assign "Connection Roles" (e.g., "Primary Agent," "Backup Agent," "Former Agent") and include start/end dates for when the agent was assigned.
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-entity-relationships https://learn.microsoft.com/en-us/power-apps/developer/data-platform/connection-entities
DRAG DROP (Drag and Drop is not supported)A company develops and deploys AI-enabled Power Platform solutions across multiple environments. Environment access is controlled through security groups.The development team requires Power Platform environments to store, manage, and share the solutions across the company.All developers require access to the same environment. The environment must be subject to ALM controls.You need to set up the environments.Which environment types should you use? To answer, move the appropriate environment types to the correct requirements. You may use each environment type once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.Note: Each correct selection is worth one point.Select and Place:
Box 1: Sandbox The environment type needed to build and validate new features is a Sandbox environment.Security Group Control: You can assign Microsoft Entra security groups to Sandbox environments to manage and restrict user access. By contrast, standard Developer environments do not support the assignment of security groups.Shared Developer Space: The scenario specifies that all developers require access to the same environment to store and share solutions. A standard Developer environment is intended for individual/personal use and cannot be shared with other makers.ALM Controls: A Sandbox environment is fully isolated and acts as the perfect non-production stage to enforce strict Application Lifecycle Management (ALM) controls, solution checking, and automated pipelines before code reaches Production.Box 2: Production To host stable business workloads, a Production environment is needed.Business Workload Capability: A Production environment is specifically designed and optimized to run live, mission-critical applications and automated workflows securely and at scale for end users.Strict Security Control: Unlike certain types like Developer environments (which do not support security group assignments), a Production environment allows administrators to restrict access precisely using dedicated security groups. Application Lifecycle Management (ALM): It perfectly supports ALM controls by serving as the final destination for stable, managed solutions that are imported from upstream development or testing stages.
https://learn.microsoft.com/en-us/power-platform/admin/control-user-access
A company uses Microsoft Dataverse to manage prospects. The company has a business process flow named BPFA that is associated with the Prospect entity to streamline the prospect management process.You add a field named Category to the Prospect entity. You create additional business process flows. You apply the business process flows to Prospect records based on the selected category. Users can switch to any other newly configured business process flows but must not use BPFA.You need to configure the solution.What are two possible ways to achieve this goal? Each correct answer presents a complete solution.Note: Each correct selection is worth one point.
Answer(s): C,D
Both deactivating the old business process flow and removing all of its privileges are valid, complete solutions to prevent users from using the old flow while allowing them to use the newly configured BPFs.
https://learn.microsoft.com/en-us/power-automate/business-process-flows-overview
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.You need to select the available knowledge source for the prompt.What should you use?
A Dataverse table is the best knowledge source for a Power Automate Retrieval-Augmented Generation (RAG) prompt handling product specifications.Why Dataverse is better than PDF Native Integration: Power Automate and Dataverse sit on the same Power Platform infrastructure. This eliminates complex document parsing and connector lag.Precise Grounding: AI models read structured rows and columns much more accurately than unstructured PDF layouts, tables, or multi-column text.Real-Time Accuracy: Product specs change. Updating a Dataverse cell instantly updates the AI's knowledge. Modifying, re-uploading, and re-indexing a PDF creates version-control issues.Accuracy: Minimizes model hallucinations because the AI reasons over discrete, low-code tabular data.
https://microsoft.github.io/agent-academy/operative/08-dataverse-grounding/
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